Assessing Brand Image through Communalitites and Asymmetries Brand-to-Attribute and Attribute-to-Brand Associations.

Brand image is a key component of customer-based brand equity, and refers to the associations a consumer holds in memory. Such associations are often directional; one should distinguish between brand-to-attribute and attribute-to-brand associations. Information on these associations arise from two ways of collecting data respectively: brand-by-brand evaluations of all attributes and attribute-by-attribute evaluations of all brands. In this paper, the authors present a methodological approach, namely correspondence analysis of matched matrices, to assess the communalitites as well as asymmetries between brand-to-attribute and attribute-to-brand associations. The methodology results in perceptual maps visualizing brand image. The approach is illustrated in an empirical market research project in which two samples of consumers evaluated ten brands of deodorants and eleven attributes.

Assessing brand image through communalitites and asymmetries brand-to-attribute and attribute-to-brand associations.

Brand image is a key component of customer-based brand equity, and refers to the associations a consumer holds in memory. Such associations are often directional; one should distinguish between brand-to-attribute and attribute-to-brand associations. Information on these associations arise from two ways of collecting data respectively: brand-by-brand evaluations of all attributes and attribute-by-attribute evaluations of all brands. In this paper, the authors present a methodological approach, namely correspondence analysis of matched matrices, to assess the communalitites as well as asymmetries between brand-to-attribute and attribute-to-brand associations. The methodology results in perceptual maps visualizing brand image. The approach is illustrated in an empirical market research project in which two samples of consumers evaluated ten brands of deodorants and eleven attributes

Should they stay or should they go? Reactivation and Termination of Low-Tier Customers: Effects on Satisfaction, Word-of-Mouth, and Purchases

Many companies face the problem of having a substantial number of low-tier customers ? clients at the bottom of the customer pyramid. For this segment, it is necessary to either reactivate or terminate the customer relationships to increase profitability. Managers seek to learn more about marketing actions targeted towards low-tier customers and their response towards these actions. Therefore, we conducted a large field experiment in which we implemented a ?last call? marketing action for a large sample of low-tier customers of a catalogue retailer (N = 12,000). The action aims at sales reactivation, but in case a customer should not react, the relationship will be terminated. We measure customer response in terms of satisfaction, (positive and negative) word-of-mouth, and purchase behavior. We find no harmful effects from relationship termination, such as dissatisfaction or negative word-of-mouth. The results indicate that the ?last call? marketing action reactivates a small fraction of the low-tier customers. These customers remain active in the months following the action period. We discuss managerial implications of our findings and future research on low-tier customer segments.

Generating Global Brand Equity through Corporate Social Responsibility to Key Stakeholders

In this paper we argue that socially responsible policies have positive short-term and long-term impact on equity of global brands. We find that corporate social responsibility towards all stakeholders, whether primary (customers, shareholders, employees and suppliers) or secondary (community), have positive effects on brand equity value, where the secondary stakeholders are even more important than primary stakeholders. In addition, policies aimed at satisfying community interests act as a mechanism to reinforce trust that gives further credibility to social responsible polices with other stakeholders. The result is a decrease in conflicts among stakeholders and greater stakeholder willingness to provide intangible resources that enhance brand equity. We provide support of our theoretical contentions using a panel data composed of 57 global brands, originating from 10 countries (USA, Japan, South Korea, France, the UK, Italy, Germany, Finland, Switzerland and the Netherlands) for the period 2002 to 2007. We use detailed information on brand equity obtained from Interbrand and on corporate social responsibility provided by the Sustainalytics Global Profile (SGB) database, as compiled by Sustainalytics.

Accurately measuring willingness to pay for consumer goods:a meta-analysis of the hypothetical bias

Consumers' willingness to pay (WTP) is highly relevant to managers and academics, and the various direct and indirect methods used to measure it vary in their accuracy, defined as how closely the hypothetically measured WTP (HWTP) matches consumers' real WTP (RWTP). The difference between HWTP and RWTP is the "hypothetical bias." A prevalent assumption in marketing science is that indirect methods measure WTP more accurately than do direct methods. With a meta-analysis of 77 studies reported in 47 papers and resulting in 115 effect sizes, we test that assumption by assessing the hypothetical bias. The total sample consists of 24,347 included observations for HWTP and 20,656 for RWTP. Moving beyond extant meta-analyses in marketing, we introduce an effect size metric (i.e., response ratio) and a novel analysis method (i.e., multivariate mixed linear model) to analyze the stochastically dependent effect sizes. Our findings are relevant for academic researchers and managers. First, on average, the hypothetical bias is 21%, and this study provides a reference point for the expected magnitude of the hypothetical bias. Second, the deviation primarily depends on the use of a direct or indirect method for measuring HWTP. In contrast with conventional wisdom, indirect methods actually overestimate RWTP significantly stronger than direct methods. Third, the hypothetical bias is greater for higher valued products, specialty goods (cf. other product types), and within-subject designs (cf. between-subject designs), thus a stronger downward adjustment of HWTP values is necessary to reflect consumers' RWTP